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Open Peer Review

Any reports and responses or comments on the article can be found at the end of the article OPEN LETTER

   

Value based tiered pricing for universal health coverage

 

an idea worth revisiting

version peer review approved

Kalipso Chalkidou  

Karl Claxton Rachel Silverman Prashant Yadav

 

 

Global Health Policy  Center for Global Development  London  UK Department of Economics  University of York  UK  York  UK

Abstract

The pricing of medicines and health products ranks among the most hotly debated topics in health policy  generating controversy in richer and poorer markets alike  Creating the right pricing structure for pharmaceuticals and other healthcare products is particularly important for low  and

middle income countries  where pharmaceuticals account for a significant portion of total health expenditure  high medicine prices therefore threaten the feasibility and sustainability of nascent schemes for universal health coverage  UHC  We argue that a strategic system of value based tiered pricing  VBTP  wherein each country would pay a price for each health product commensurate with the local value it provides  could improve access  enhance efficiency  and empower countries to negotiate with product manufacturers  This paper attempts to further understanding on the potential value of tiered pricing  barriers to its implementation  and potential strategies to overcome those

Keywords

UHC  Universal Health Coverage  Tiered Pricing  Value based

      Reviewer Status   Invited Reviewers   version 2 revision  Feb  version 1  Feb      report report report  Management Sciences Hector E Castro

for Health  MSH  Arlington  USA

 Universidad Jorge Mestre Ferrandiz

Carlos III  Madrid  Spain

 Community Lyudmila Nepomnyashchiy

Health Acceleration Partnership  CHAP  New York City  USA

   Feb     

First published

https doi org gatesopenres

   Feb     

Latest published

https doi org gatesopenres

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 Kalipso Chalkidou 

Corresponding author kchalkidou cgdev org

   Writing   Original Draft Preparation  Writing   Review   Editing    Writing   Original Draft Preparation

Author roles Chalkidou K Claxton K

Writing   Review   Editing  Silverman R Writing   Original Draft Preparation  Writing   Review   Editing  Yadav P Writing   Original Draft Preparation  Writing   Review   Editing

 No competing interests were disclosed Competing interests

 This work has been funded by the Bill and Melinda Gates Foundation  Investment ID OPP Grant information

The funders had no role in study design data collection and analysis decision to publish or preparation of the manuscript

     Chalkidou K   This is an open access article distributed under the terms of the 

Copyright et al Creative Commons Attribution License

which permits unrestricted use  distribution  and reproduction in any medium  provided the original work is properly cited  Chalkidou K  Claxton K  Silverman R and Yadav P  

How to cite this article Value based tiered pricing for universal health coverage an

 Gates Open Research     

idea worth revisiting version peer review approved https doi org gatesopenres

   Feb       

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Background

The pricing of medicines and health products has become one of the most hotly debated topics in health policy—in both industrialized/OECD countries and low- and middle-income countries (LMICs). Creating the right pricing structure for pharmaceuticals and health products has become particularly important for LMICs, where pharmaceuticals account for a signiicant portion of total health expenditure.

Under the historical model for global health, most of the world’s poor lived in low-income countries; the global burden of disease was largely communicable, and mostly concentrated in low- and lower-middle-income countries; and development assistance for health inanced large portions of health expendi-ture in low and lower-middle income countries. This model of global health assistance is now passé. The world’s poor (and disease burden) are no longer concentrated in low-income countries (LICs) but now reside primarily in middle-income countries (MICs). And as MICs transition from health assist-ance, they often face signiicantly higher prices for health products compared to the prices received by global health mechanisms. This poses a signiicant risk to sustaining the health gains achieved in immunization, HIV/AIDS, tuberculosis (TB), malaria, family planning, and other disease areas funded though development assistance for health.

At the same time, other forces are at work. Epidemiological transition is shifting the disease burden from infectious to non- communicable diseases (NCDs) across most countries, but many LMICs still face a high communicable disease burden—espe-cially in Sub-Saharan Africa and South Asia. Economic growth and improved iscal space have not necessarily translated into commensurate increases in government health spending (Doherty

et al., 2018; Tandon et al., 2018). The modest increases in government expenditure for health are insuficient to sustain inancing of health programs previously supported by donors, particularly given that countries face higher prices of health products. As donor aid shrinks, and government expenditures do not increase fast enough to keep pace, a majority of the health expenditure in LMICs (especially for medicines/health products) is borne out-of-pocket by individuals and families. For some transitioning countries, high prices for vaccines, antiretroviral therapy (ART) and other products can jeopardize the inancial sustainability of health sector budget (Silverman, 2018). When faced with the choice between sustaining donor-inanced pro-grams and making other investments in the health system or NCDs, some country governments are inclined to choose the latter—leading to tensions between different global agencies and country governments that further complicate this issue.

The lack of a clear architecture for pricing and prioritiza-tion of health products continues to be a major impediment to achieving UHC (Schäferhoff et al., 2019; Watkins et al., 2018). National health insurance systems—most of which are still in stages of infancy in most LMICs—are devoting large por-tions of their limited budgets to health products (e.g. Ghana’s NHIS and Kenya’s NHIF spend between 40–55% of their total budgets on health products); this makes it dificult to expand quality services to cover more of the population. In tandem, new technologies (especially vaccines and diagnostics) are entering LMIC health systems at an unprecedented pace. The pressure to adopt new health technologies creates signiicant opportunity costs and is likely to crowd out more cost effective interven-tions (e.g. Kenya and GeneXpert (Callaway, 2017; Muchangi, 2019); Senegal offering free access to trastuzumab, which has in turn been shown not be cost-effective in most African settings1 (Gershon et al., 2019); or the recent listings in the WHO Essential Medicines List of expensive products for cancer and autoimmune diseases, including erlotinib and adalimu-mab, with incremental cost effectiveness ratios in the order of hundreds of thousands of dollars, in the hope generic versions will materialise (Hill et al., 2016; WHO, 2019—page 222); or dialysis in LMICs absorbing large chunks of small and strained budgets (van der Tol et al., 2019)).

This context requires rethinking the current model of pharmaceutical pricing—and, we argue, an important role for value-based tiered pricing (VBTP), a system of pricing where each country pays a price commensurate with local value. In this article we irst describe the review the theoretical and empirical literature on the potential beneits and challenges of applying tiered pricing schemes in LMICs. We then present VBTP as an approach to help manage some of the tensions and tradeoffs in the debate around LMIC medicine pricing. While VBTP is no magic bullet for universal LMIC access to medicines, it holds the potential to move countries forward toward UHC.

Theory and evidence on pricing models and differential pricing

Overview

Eficient pricing for on-patent pharmaceuticals is complex and challenging. Under the current IP model, private companies pay upfront for pharmaceutical R&D (though they often beneit from public sector investments in basic scientiic research and early stage R&D); they later recoup their upfront investments and earn proits by selling successful pharmaceutical innovations at prices well above marginal cost, protected by term-limited patents (Institute of Medicine (US) Forum on Drug Discovery, Development, and Translation, 2009). If prices are too low, pharmaceutical companies will not invest in innovation (dynamic ineficiency); if prices are too high, the costs of accessing existing therapies will outweigh the beneits (static ineficiency). Pricing policy for innovative pharmaceutical therefore need to achieve a delicate balance between these twin

1 In Brief: Senegal to offer free breast and cervical cancer treatment.

Uncensored Opinion. Sept 2019. See here: https://uncensoredopinion.co.za/ in-brief-senegal-to-offer-free-breast-and-cervical-cancer-treatment/

Amendments from Version 1

We thank the reviewer for their comments; we have amended the paper including a reference to his review, to address his points. In brief, we have added more references as requested, explained/ qualified various statements and pointed to his review for a list of challenges in making VBTP a reality.

Any further responses from the reviewers can be found at the end of the article

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goals: affordable access to existing treatments on the one hand, and potentially transformative and lifesaving innovation on the other.

Zooming out from pricing policy in any individual country, global pricing for on-patent products becomes even more challenging. Pharmaceutical R&D is a global public good; the cost is borne through a one-time upfront investment justiied by the potential for future sales, and the beneits are potentially shared across consumers worldwide. Prices are not determined by the costs of R&D; however, the size of investment in R&D is determined by the expectations of the global prices manufacturers are likely to command for the products in development. Since post-hoc sales indirectly fund R&D in this way, the choice of pricing policy across countries there-fore determines how much each country contributes to the joint cost of pharmaceutical innovation. (For products that are off-patent, market competition has the potential to create the right pricing structure—though in practice, market failures and barriers to entry often help sustain artiicially high prices in LMICs even after patent expiration (Silverman, 2018).

For products under patent and with limited therapeutic sub-stitutes, price is determined by strategic responses between the manufacturer and purchasers in different markets. The manufacturer’s goal is to maximize total proits across all markets. Each purchaser, in contrast, aims to access the drug at the lowest possible price, so long as the beneits at that price outweigh the cost of the drug. (For simplicity, the below sec-tion refers interchangeably to “countries” and “consumers”, imagining that each country is served by a single payer able to negotiate and purchase on behalf of all citizens using pooled funds; in practice, however, most markets are served by a heterogenous mix of public payers, private insurers, and out-of-pocket expenditure from individuals.)

One possibility would be for the manufacturer to set a uni-form single price for all countries across the entire world; coun-tries could choose to either purchase the drug at the uniform price or walk away without purchasing the drug. At a very high price, the manufacturer knows that only a few countries will be willing to pay for the drug and total revenue will be low. At a very low price, on the other hand, almost every country will be willing to pay for the drug—but total revenue will still be low because revenue per-pill will be miniscule and may even fall below the marginal cost of production. The optimal price, from the perspective of the patent holder, would be somewhere in the middle, where the marginal revenue of serving one additional country—accounting for both increased volume, which increases revenue; but also decreased price across all countries, which decreases revenue—is equal to the marginal cost of producing the pill. That is, the manufacturer will choose the single price for the entire world based on the overall/aggregate demand elasticity.

But a single price would create signiicant social dead-weight loss (ineficiency). Some countries would be unwilling or una-ble to buy the drug at the single uniform price; that means some markets would not be served at all (Kremer & Snyder, 2018).

A uniform price would also be suboptimal from the manu-facturer’s perspective, since it leaves potential revenues from unserved markets on the table; therefore, a single price would also be ineficient for recouping R&D costs and incentivizing future innovation (Danzon, 1997).

Alternatively, a manufacturer could deploy differential pricing across multiple heterogenous markets—that is, a manufacturer could charge different prices for the same product in differ-ent countries. Price differences would relect differences in the willingness (and ability) of each country to pay for the product. (More speciically the manufacturer would charge lower prices to price-sensitive countries, and higher prices to less price-sensitive countries).

In theory, differential pricing across countries can create welfare gains by improving access for patients in developing countries without necessarily harming either the proits of the pharmaceu-tical companies or access for patients in developed countries. Under certain conditions, differential pricing may also lead to better incentives for pharmaceutical research and develop-ment, and thus in the long run could beneit patients in both developing and developed countries (Danzon & Towse, 2003). Literature review

Yadav (2010) provides a review of literature on differential pric-ing. Relevant literature is reviewed below to provide the right theoretical background for the rest of this paper.

Price discrimination in a monopoly. Multiple studies (Schmalensee, 1981) have shown that differential pricing by a single proit-maximizing manufacturer leads to improve-ments in overall welfare (i.e. beneits both the manufacturer and the consumers) if total sales increase as a result of differen-tial pricing. Similar indings are reported in Varian (1985) and

Schwartz (1990). Layson (1994) shows that if a monopolis-tic irm serves two markets—one with higher willingness/ ability to pay and larger proit margin, and a second with lower willingness/ability to pay but a large market size—price discrimination will enhance social welfare. More generally,

Malueg & Schwartz (1994) show that price discrimination increases social welfare when there are large differences in demand. Hausman & Mackie-Mason (1988) note that price dis-crimination is also more likely to increase dynamic welfare by better incentivizing research and development.

Price discrimination in an oligopoly. There is very little research that examines the impact of price discrimination in an oli-gopoly (products with a small number of manufacturers, but more than one). Using a simpliied model, Fudenberg & Tirole (2000) predict that price discrimination among irms in an oli-gopoly would lead to high initial prices followed by a subsequent price reduction; consumers would be better off in aggregate. When one market is a monopoly and other market is oli-gopoly. In some cases, a irm could serve two independent mar-kets—one in which it enjoys a monopoly, and the other in which it must compete with a rival irm. The effect of price dis-crimination in this scenario remains understudied, though this

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analysis would be important for understanding situations where generic competition exists in some countries, but other countries remain under patent exclusivity. In this environment, Armstrong & Vickers (1993) show that a irm would set a monopoly price in the irst market; prices in the second market would be determined by the competitive interaction between the two irms. If the irm cannot successfully set different prices in the two markets due to price regulation or other factors, the irm may end up choosing a reduced price in the captive market and a raised price in the competitive market.

Under a system of differential pharmaceutical pricing, Mujumdar & Pal (2005) show that price regulation in one county has no impact on prices charged in a second country. As long as there is no price referencing, pricing decisions are made independently for each market.

Ramsey pricing. While in theory differential pricing is based on price elasticity of customer segments, in practice price elasticities of individual customer segments/markets are unobservable. As a result, average per capita income is often used as a proxy for price elasticity and differential pricing is designed around GNI/capita or GDP/capita. While voluntary differential pricing by a manufacturer achieves higher social welfare compared to charging a single uniform price, the absolute price levels charged by a proit-maximizing monopo-list may not be socially optimal. Ramsey pricing (Ramsey, 1927) can be utilized to determine differential prices in each market to recoup the variable and joint R&D costs. Ramsey pricing, which was originally explored as a pricing approach for pub-lic utilities with large ixed costs, involves choosing prices in each market in inverse relation to the demand elasticities, and subject to assuring a speciied target proit level for the manufacturer, e.g. a irm’s target internal hurdle rate of return. Depending on who sets the target rate of return, Ramsey pricing can be more akin to a regulated proit maximizing monopolist. Even though Ramsey pricing can be welfare eficient, it may not be consistent with the goal of improving access to LMICs. Without consensus on what would be the socially acceptable rate of return for the manufacturer, the selected price differentials often transfer a larger portion of surplus to the manufacturer, making it similar to a price discriminating monopolist.

Welfare effects in global markets using simulation or empiri-cal data. Several papers use simulation or empirical data to interrogate the welfare effects of price discrimination across global pharmaceutical markets. Dumoulin (2001) uses a simulation model to compare a single global price with dif-ferential prices based on country income. The analysis shows that differential pricing maximizes both manufacturer proit and affordability to the population, increasing access by a fac-tor of roughly 4–7. Among countries with the same GDP per capita, the country in which wealth is most concentrated will face a higher price under price discrimination; companies would rationally price for the rich segment of society rather than the more populous but less lucrative lower-income segment.

Scherer (2004) considers the welfare effects of allowing poor countries to access generic versions of medicines protected by patents in rich countries. Globally, he inds this would increase welfare because the marginal utility of income (the beneit derived from one extra unit of currency) is greater in poor nations than in rich ones. However, this may lead to negative welfare effect in the rich countries.

Danzon (1997) compares the welfare effects of differential pric-ing for pharmaceuticals in the United States and the European Union (EU). They show that prices in the European Union (EU), are farther from ‘Ramsey Optimal Prices’ due to paral-lel trade and monopsony buying structure. Danzon & Chao (2000) compared the prices of a limited sample of drugs across countries and conclude that prices for generics are lower in markets without price regulation.

Hellerstein et al., (2004) examine differential pricing for ARVs for HIV/AIDS and show that until 2000 there was little varia-tion in the prices of ARVs between the high and low-income countries.

Reich & Bery (2005) discuss differential pricing among vari-ous options of improve access to AIDS medicines. They list three possible mechanisms for a differential pricing system: internal company polic- based differential pricing, international agency facilitated differential pricing and wider distribution of price information to different actors.

Lopert et al. (2002) recommend a mechanism of setting prices in each country based on the incremental cost per life-year gained for each country based on its per capita gross domestic product (GDP) as a proxy for a patient’s ability to pay.

Based on an extensive literature search, Lang & Hill (2004)

conclude that differential pricing can lead to improved access for low-income countries, increased market share for companies, and no price increases for high-income countries. Summary. Compared to a single price across countries, the lit-erature clearly demonstrates that differential pricing enhances both static and dynamic eficiency. The debate, therefore, is not about the value of differential pricing per se but rather how differential pricing should be structured; how it should distribute surplus between the manufacturer and buyer(s); and, relatedly, how it should trade off between dynamic and static eficiency. Traditional price discrimination allows the manu-facturer to capture a larger portion of the economic surplus, therefore privileging R&D investment (dynamic eficiency); Ramsey-style pricing, in contrast, could in theory transfer most of the surplus to consumers and regulate proits, therefore privileging affordable access to existing therapies (static eficiency).

Challenges in conventional differential pricing

The theoretical beneits of differential pricing can only be met under speciic conditions. Manufacturers must be able to securely separate economic markets based on demand

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elasticity—preventing either physical or informational leakage between markets and using the right proxies for demand elasticity in each.

In LMICs, these conditions are rarely met in practice (Yadav, 2010). Many LMICs have highly skewed income distributions, making it more lucrative to cater to richer segments of society than the more voluminous poorer classes (oftentimes includ-ing large migrant/undocumented populations from neighbour-ing countries). This is exacerbated by relatively low levels of pooling; most purchase decisions, in practice, are made by individuals, who are likely to be more price sensitive than a pooled payer. Manufacturers are also wary of physical arbitrage (e.g. reimportation to higher value markets) and informational arbitrage (e.g. lower LMIC prices used to inform pricing in higher value markets via external reference pricing). Drug resistance and supply/manufacturing constraints may also create impedi-ments for serving more price-sensitive consumers (Yadav, 2010). In addition, while overall welfare may be higher, tiered pricing may allow producers to charge a margin which is far higher than the amount needed to recoup R&D investments and production costs (Moon et al., 2011).

To achieve welfare enhancing prices, some argue that the monop-oly pricing power of a manufacturer must be constrained by regulatory price controls or through competition (via compul-sory licensing). This may achieve static eficiency gains, but the resulting effect on dynamic eficiency could be problematic.

See Table 1 below for a description of the three main product characteristics to consider for the applicability of differential pricing.

Differential pricing and procurement architecture

Real-world transactions, including manufacturer price-setting, are often more complex than basic economic theory would predict. When a single manufacturer sells to multiple mar-kets, the manufacturer considers not just price elasticity of the market but also the purchaser’s buying power, as well as other factors such as payment timeliness, long-term customer value, and transaction costs. Smaller country purchasers are then at a natural disadvantage; the volume they are pur-chasing is too small to create negotiating leverage based on market power, and the transaction costs are high relative to a manufacturers’ total potential revenue.

One option used to increase small countries’ purchasing power and reduce transaction costs is pooled or joint procurement. Pooled procurement has been deployed, for example, via the Gulf Cooperation Council (GCC) pooled procurement mecha-nism, the Pan-American Health Organization (PAHO) Revolving Fund for Vaccines, the Organisation of Eastern Caribbean States (OECS), and the African Island States procurement service, both for single source/on-patent drugs and generics. Such arrangements can only work if participating countries have comparable income levels and/or willingness to pay, since a single price is set across participating countries.

Table 1. Product and market characteristics for applicability of differential pricing.

Differential pricing can only create welfare gains for certain product and market types. There are three main product characteristics to consider for the applicability of differential pricing:

1. Product life cycle:

°

Established products with dozens of generic manufacturers do not require differential pricing; the forces of market competition are the best lever to achieve optimal prices.

°

New health technologies which are currently being launched in HICs may be a good candidate for differential pricing, allowing simultaneous (versus delayed) market launch in LMICs.

°

On-patent products that have already been launched in LMICs through donor-led procurement—e.g. new ARVs or vaccines—could also be good candidates for differential pricing

2. Production cost and economies of scale:

°

Production of biologics and vaccines requires significant capital investments to set up manufacturing plants; their production cost curves are steep downward sloping.

°

This implies that differential pricing can enhance economies of scale for one (or a few) manufacturers, allowing lower prices at the lowest tier.

°

In the long run, however, differential pricing (and the subsequent higher prices) could create barriers to entry/ competition; new manufacturers may not be able to achieve the economies of scale enjoyed by the one or two large incumbent manufacturers.

3. Complexity in administering the product:

°

As discussed earlier, the welfare-enhancing properties of differential pricing only apply when differential pricing leads to higher overall sales for manufacturers—that is, when lower prices lead to a higher sales volume. For products that require more sophisticated health system infrastructure to administer, a lower price may not necessarily lead to a substantial increase in sales volume. Differential pricing may not be the best approach for such products unless health system infrastructure is improved in parallel.

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Monopsony power of large buyers carries some risks and can lead to unintended consequences. For example, if pooled monop-sonist purchasers with high income heterogeneity between participating countries use their buying power to exercise lowest price clauses in their price negotiations, it can lead to decreases in welfare (Privett & Yadav, 2012). A large pooled purchaser which has a combination of low-, middle- and high-income countries in its pool can leverage its buying power to demand low prices for all its members, including middle- and high-income countries. Strategic pricing response from manufacturer to the presence of such a buyer reduced overall welfare in the system.

Value-based tiered pricing

In economic theory, true differential pricing should relect each market’s willingness to pay. In contrast, conventional differential (tiered) pricing used in global health (e.g. for vaccines, ARVs, malaria medicines, and contraceptives (Yadav, 2010) has primarily used per capita income as a proxy for willingness to pay. The use of GDP per capita as a crude proxy for willingness to pay is a signiicant law in the design of differential pricing programs, driving contention and debate. The highly skewed income distribution in countries such as Brazil, India, and Thailand leads to discontent with prices offered based on national average GNI/capita (Yadav, 2010). A different approach—value-based (beneit-based) tiered pric-ing (VBTP)—has the potential to address previously observed challenges with conventional differential pricing (Danzon

et al., 2015). Under VBTP, prices in each country should be based on a health system’s willingness to pay, where willingness

to pay relects the actual, assessed value of the product within that market/health system (‘value-based pricing’) account-ing for affordability and budgetary constraints (See Figure 1) (Claxton, 2007). The assessed value of a product is based on three factors. First, how much additional health will the product create (compared to the current standard of care or potential comparator products)? Second, what are the net additional costs to the health care system of adoption, includ-ing how may decrease or increase health spendinclud-ing elsewhere? (For example, a vaccine would prevent disease, which a health system would otherwise need to pay to treat; but a new medi-cal device would also require implantation or surgimedi-cal costs in addition to the procurement price of the product.) Finally, how much is the health system willing and able to pay for additional health beneits offered (e.g. per disability- or quality-adjusted life years)?

Determining value…locally

Use of value assessment to inform pricing decisions is already supported by a substantial research and institutional infra-structure. Many LMICs are already using or exploring value assessment (through health technology assessment) to inform their procurement/price negotiation and reimbursement deci-sions, including Thailand, China, India, Ghana, South Africa, the Philippines, Indonesia, Brazil Mexico, Colombia, Kenya and Tanzania (Government launches health technology assessment to inform policy decision making Nairobi, (n.d.);

Hollingworth et al., 2019; MacQuilkan et al., 2018; Surgey

et al., 2019; Tantivess et al., 2017). There is also a large body of literature around how to estimate a health system’s willingness and ability to pay for health gains.

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The key question is what improvement in health would be pos-sible if the additional (net) resources required had, instead, been made available for other health care activities. This assessment of health opportunity cost is relevant whether the additional costs of the investment must be found from existing commitments and current levels of health expenditure, or when health expenditure can/will be increased to accommodate the additional resources required. Therefore, the problem of establishing how much a health care system should be willing and able to pay for the beneits of a product is the same as estimating the relationship between changes in health care expenditure and health outcomes. Countries vary in disease burden, demographics, health expenditure and system structure. As a consequence the marginal productivity of health care expenditure, health opportunity costs, and how much health care systems can afford to pay for the health ben-eits of products are likely to be correlated with income levels; however, GDP per capita, by itself, will not precisely predict optimal pricing.

Estimates of the marginal productivity of health expenditure in producing health (quality-adjusted life-years) are becoming available for some high-income countries based on approaches to estimation which exploit within-country data, (Claxton

et al., 2015; Edney et al., 2018; Lomas et al., 2018; Martin

et al., 2008; Vallejo-Torres et al., 2018). This evidence from high-income settings can be used to give some indication of possible values in lower income countries (Woods et al., 2016) based on a number of assumptions about income elas-ticity of demand for health and the relative ‘under funding’ of health care systems.

The effect of different levels of health care expenditure on mortality outcomes has been investigated in a number of published studies using country level data, many including LMICs (Gallet & Doucouliagos, 2017). The challenge is to control for all the other reasons why mortality might differ between countries in order to isolate the causal effect of differences in health expenditure. A number of studies try and overcome this problem and estimate outcome elasticities for all cause adult and child mortality, by gender, as well as survival, disability and DALYs (Bokhari et al., 2007; Ochalek

et al., 2018). These estimated elasticities have been used to provide country speciic estimates of health opportunity costs (cost per DALY averted) for 97 LMICs, taking account of measures of a country’s infrastructure, donor funding, popula-tion distribupopula-tion, mortality rates, condipopula-tional life expectancies (all by age and gender), estimates of disability burden of disease and total health care expenditure (Haasis et al., 2015). These types of estimates suggest that optimal prices under VBTP will vary across countries and as a general trend increase with increasing GDP per capita, but speciic pricing in each country would depend on how much health would be produced in that system, the speciic cost structure of the health system, and how a country values health gains achieved through a health technology.

VBTP therefore offers an opportunity to improve upon con-ventional tiered pricing and sustainably capture the potential

eficiency gains from differential pricing, particularly in coun-tries which are moving towards high coverage in their national insurance programs and are already using value-based pricing and cost-effectiveness thresholds. Value assessment provides a more accurate measure of a country’s willingness to pay than use of GDP per capita, which is likely to be correlated with willingness to pay but offers only a crude, often imprecise proxy. Deinitionally, VBTP also ensures that a product would be locally affordable, as the value assessment explicitly considers a country’s willingness to pay for health gain, which is directly linked to its ability to pay for health gain, given resource constraints.

“What’s in it for me?” Benefits of VBTP for different actors in the health system

Below we describe how a functional VBTP system would ben-eit different actors within LMIC health systems. As described in the previous section, our deinition of “value” is always based on beneits that accrue to the payer and the payer’s willingness to pay for these beneits.

Health care systems in low- and middle-income markets. A VBTP system would dramatically increase the accessibil-ity and affordabilaccessibil-ity of health innovation in LMICs. VBTP would ensure that transaction prices are affordable, relect local opportunity costs, and therefore remove the politically difi-cult choice between restricting access to effective medicines or allowing access at too high a price, thereby damaging other parts of the health care system and the economy. By using the beneits-based price as the starting point/ceiling price in negotiations with industry, country payers can ease budget pressure, making collective or universal coverage more politi-cally and inancially sustainable. In particular, VBTP can help relieve budget pressure within the MICs currently setting up insurance or universal health coverage schemes and payer agen-cies, especially when existing health technology assessment infrastructure is already driving listing decisions and price negotiations.

In the absence of tiered pricing (e.g. at a single global price), most MICs would be priced out of the market for innovative pharmaceuticals, except perhaps among a handful of wealthy individuals willing and able to pay out of pocket. In contrast, prices that relect the budgetary constraint can help drive appropriate and equitable uptake of branded pharmaceuticals, provided arrangements are in place to adjust the value-based price downwards2 in situations where adoption would lead to signiicant budget impacts (e.g. introduction of PCV in the Philippines (Ochalek et al., 2018); or HepC drugs in

Australia). Appropriate VBTP implies that a country payer can afford to purchase an innovative product for the entire covered population in need—avoiding inequities caused by rationing either on an ad hoc basis or based on individuals’ ability to pay

2 See (Lomas et al., 2018) for a discussion of non-marginal effects,

though applying such adjustments in real time may be impractical in many MICs systems.

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out-of-pocket. Likewise, differential pricing across countries implies that a greater number of countries could afford health innovation—reducing cross-country inequities of access and health outcomes (though better outcomes for many NCDs such as cancer or diabetes also require signiicant expendi-ture and capacity elsewhere in the health system, e.g. cancer outcomes depend on early diagnosis, access to radiotherapy, and surgery etc.).

Likewise, a global system of VBTP would help signal LMIC health needs and demand to product developers, creating at least some inluence on commercial research and development decisions (to a signiicant extent compared to single global price3). Private sources invest over $170 billion each year in healthcare R&D; over time, consistent demand signaling from LMICs should direct at least some of these resources toward LMICs’ speciic health needs. The strength of this signal will grow smoothly and progressively with economic growth rather than the ‘binary’ effect of a single global price. Further, as MICs invest in their own healthcare product industries, a VBTP system could expand the size of domestic and global pharmaceutical markets. The Chinese government, for example, is already emphasizing R&D (including biosimilars and increasingly “innovative” products) within the Chinese pharmaceutical industry with the government emphasis on R&D including biosimilars.

Importantly, such an R&D system is still likely to underserve low-income countries (LICs), which are shrinking in number and population but continue to represent a substantial portion of the global disease burden. LICs are likely to have differ-ent innovation needs than MICs (e.g. treatmdiffer-ent/prevdiffer-ention for neglected tropical diseases or products that can be deliv-ered without cold chains), extremely limited ability to pay for innovation, and continued reliance on donor funding and procurement support. However, a VBTP could still beneit LICs by improving access to existing products with a shared burden across LICs and MICs/high-income countries (HICs)—so long as the LIC value-based price still exceeds the manufacturers’ marginal cost of production.

More broadly, in situations where the value- or beneit-based price an LMIC is less than the manufacturer’s marginal cost of production, the manufacturer will still have no commercial incentive to offer the product for sale, even under a system of perfect global price discrimination. This scenario may be quite common in LICs, where evidence-based, budget-sensitive thresholds are likely to be much lower than those used by global partners (or formerly by WHO) and even small molecules may be too costly at marginal-cost prices (Chalkidou & Keller, 2017). Further, the production costs of new biologics (and biosimilars) remain very high also requiring signiicant upfront investment costs in manufacturing plants (unlike small

molecule generics). In addition, the total cost of serving an addi-tional market also includes the costs associated with regula-tory approval, product launch, and safe delivery in the context of care pathways and with associated systems—which may be cost-ineffective, given competing priorities and limited budgets, in many LICs and some MICs. So, while a VBTP system should improve access to some portion of innovative health products in at least some markets, perfect price discrimination alone will not, unfortunately, lead to full access for all branded drugs in all contexts.

Industry. VBDP would increase industry’s revenue and proit for a product during patent protection. Pricing (and volumes) in each country would be based on evidence of a product’s value proposition—a rational and therefore accountable assessment for each health system. A VBTP system would be more predictable than current arrangements, where regulatory approval is disconnected from listing decisions and listing decisions themselves offer little information on the likely extent of take by the health system. As such, price discrimination reduces unnecessary risks while maintaining companies’ incentives to develop better products, as more effective drugs will predictably increase revenue while an ineffective or dangerous product would yield no revenue at all.

It is theoretically possible that perfect VBTP across systems would lead to lower revenue than the status quo for some prod-ucts. If this is the case, however, this implies that some coun-tries are presently overpaying for pharmaceuticals relative to the opportunity cost; this means current revenues are likely to be unsustainable in the medium-term regardless as they would be unsustainable for the healthcare system. Indeed, VBTP is by design sustainable, as healthcare payers will be able, deinitionally, to afford access at price offered in their setting. This may help reduce the likelihood that national payers adopt more drastic policy responses to address unaffordable pharmaceutical prices, which may include:

a. Arbitrary regulatory, evidential, and budgetary barriers to entry which prevent market access and increase development costs

b. Competitive tendering or other all-or-nothing aggressive price negotiation tactics by monopsonists.

c. Complete abandonment of patents as products are unaffordable (e.g. through compulsory licensing).

The clear demand signals from MICs (see previous sec-tion) would also create additional commercial opportunities for innovator companies to serve MIC health needs, widening the pipeline of products and disease areas as the healthcare industry gradually shifts focus to fast-growing emerging markets. Global agencies and development partners.

• Better targeting of non-commercial R&D investment

In the context of the aid transition, there is growing concern that available resources for assistance are being spent on wealthier

3 See Kremer & Snyder, 2018 in reference list for a modelled

assess-ment if the implications of a price discrimination ban and hence the imposition of single global price on the price (and access) of HIV drugs.

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countries as opposed to the poorest ones in need (e.g. see lat-est analysis on EU aid (Morton et al., 2018)). Aid should not be used to purchase products at unnecessarily high prices in situations where price discriminate could enhance access to needed medicines at locally affordable prices. Development partner subsidies should instead be devoted to the poorest countries, who cannot afford basic health products even at marginal cost, and real sources of market failure where global public goods are needed, for example R&D targeting the poorest nations. While continued aid will still be needed to fund R&D when a market’s commercial proposition remains unattractive, VBTP would make some R&D investment commercially viable; commercial viability would also increase so with expectations of economic growth across LMICs. In turn, agencies, donors and founda-tions could focus their investments where there is insuficient commercial incentive for market forces to be effective.

• More eficient development partner commodity portfolio Similarly, publicly funded conduits, such as the Global Fund to Fight AIDS, Tuberculosis, and Malaria (Global Fund), can use VBTP calculations to guide their own investment portfolios (Grubert, 2019; Isabelle et al., 2017). With more than half of the Global Fund’s $14 billion budget going to commodities (many of which remain on-patent), the lack of a mechanism for ex ante value assessment risks compromising value-for-money VFM and setting unaffordable pricing prec-edents price that cannot be sustained following aid transition4. Similarly, other global players such as CHAI and UNITAID can use value-based assessments to negotiate market shap-ing deals, (i.e. for dolutegravir) and advise on post-transition listing/procurement decisions.

• Value-informed market shaping

Where donors still play a role in market shaping, VBTP can address the current lack of consideration for products’ comparative clinical value or global/national affordability. Initiatives such as MedAccess, which helps manage the risk of new product launches in LMICs, can use VBPT to anchor price negotiations with manufacturers, helping ensure better value for the HIC taxpayers which inancially support MedAccess and helping signal appropriate country-by-country price points for co-inancing. • Affordable and predictable LMIC government co-inancing during aid transition

A VBTP system could be used in tandem with aid, especially in the context of aid transition. Development partners are impos-ing increasimpos-ing requirements LMICs to take on part or all of the cost for select products. VBTP can help inform decisions about the appropriate price point for country co-inancing of donor-funded products; for example, LMICs could be asked to pay up to the locally-affordable value-based price, while donors pay the remainder of the purchase price (Claxton, 2007;

Claxton et al., 2011).

• Pooled purchasing arrangements for speciic product types VBTP, with each country paying prices commensurate with local value, can form the basis of multinational, cross-country pooled purchasing agreements for certain types of products suf-fering from speciic market failures, including unpredictable demand or onerous country-by-country launch requirements (e.g. cancer drugs, biosimilars, and insulin products). Such arrangements already work in HIC settings, where countries are forming buyer coalitions for horizon scanning, joint price negotiations, and procurement deals (PMPRB, 2019). Such arrangements could be organized by LMICs themselves or with support from development partners.

In summary, VBTP can improve the value-for-money of health aid, beneiting both HIC taxpayers and aid beneiciaries, including LMIC governments.

Pre-requisites for VBTP

For a global VBTP to work in practice, several preconditions must be in place—some of which are not yet fully operational in many LMICs:

• A functional regulatory system trusted by consumers and professionals;

• Purchasing/reimbursement and price negotiation arrange-ments through a national or subnational payer able signal willingness to pay based on budgetary constraints; and

• A functional healthcare system through which the population can consistently access procured health products.

In addition, VBTP would be most effective when comple-mented by the following conditions, which would allow for healthy market competition:

• A competitive, quality-assured generics market, resulting in signiicant price reductions in following patent expiry;

• Acceptance of the current patent system for most prod-ucts (with possible exceptions for antimicrobials, and other speciic cases) and with modest modiications to prevent abuses observed under the status quo (e.g. to remove practices such as evergreening).

Potential challenges

Countries with large out-of-pocket markets. The VBTP approach would work well in countries where a single or handful or purchaser/payers make reimbursement decisions for the entire population. But despite progress, most LMICS still lack insurance coverage for a majority of the population; most still purchase medicines out of pocket. The demand curves for individual patients’ out-of-pocket demand are very from population level willingness to pay, making it harder to implement any form of VBTP, especially as the poorest and sickest individuals tend to be the most price sensitive.

External reference pricing. One major obstacle to a global VBTP system is the risk posed by external reference pricing,

4 See here for Kenya’s recently announced commitment to take on the

funding of GeneXpert, a POC diagnostic introduced and inanced so fat by GFATM. It is not clear what price the government of Kenya will pay for the machine or the cartridges.

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where some countries or payers benchmark the prices that they are willing to pay to the prices paid by other countries or pay-ers. Such a system may achieve short-term price reductions for individual payers, but in the long run external reference pricing leads prices to converge towards a single global price—likely close to the current high prices observed in the United States due to the and pull of the American market (see theory section for further discussion of this phenomenon). To address this challenge, any individual healthcare system could adopt a value-based pricing and price negotiation mecha-nism with conidential rebates—some of which are already in use. The United Kingdom’s National Institute for Health and Care Excellence (NICE), for example, negotiates conidential rebates with manufacturers to maintain a distinction between the observed price paid and the true net transaction price for the NHS. However, since conidential discounts are applied to each individual technology NICE assesses, it is still techni-cally possible (though hardly straightforward) to identify the transaction price for each product, and for that price then to be referenced in other systems. Though this is rarely or never done in practice under the current international pricing sys-tem, expansion of VBTP to other large markets might create additional incentive to uncover the conidential prices achieved by other payers.

As an alternative to avoid some of these issues, one could envisage a two-way value-based rebate. This system would include a minimum volume/revenue guarantee offered to the manufacturer, and a maximum cost guarantee offered to the payer at the national (or international, in the case of a cross country pooled procurement mechanism) level. This would make it harder to identify transaction prices for speciic products. The English NHS has applied this mechanism (where English regions could emulate national or subnational payers participating in an international value-based pooled procurement approach) (Nemzoff et al., 2019); see also Canada and its provinces where VBP has recently become law (Syam, 2014).

Free riding and other challenges. As long as some coun-tries remain outside a VBTP system, there remain incentives for some purchasers to free ride by selectively referencing lower prices from other systems. Importantly, this is not just a problem for VBTP, but applies to any pricing model besides a uniform single price.

One way of addressing this challenge would be an interna-tional commitment to prevent parallel trade and/or external reference pricing, potentially administered and enforced through the WTP. However, arriving at such an agreement would be politically dificult; as just one example, the protection of parallel trade between EU states is enshrined in EU law). Even if this initial barrier could be overcome, further challenges would arise related to monitoring and enforcement; agreeing on and implementing a mechanism to calculate value-based prices in each healthcare system (e.g. capacity and technical constraints or gaming); and ensuring that real transaction prices remain dificult to detect.

Although the dificulties are considerable, the potential gains are large. And despite national and EU legislation, pooled procurement and joint price negotiation (with different prices per country) are already taking place through country coalitions such as BeNeLuXa for select products. Further, the current political appetite in the US to reduce prices can make VBTP—which would likely result in lower than current price in the US—a politically viable option.

What if a global agreement is not possible? Starting with NCDs or products affected by aid transition? An alternative starting point would include LMICs and development partners with a particular focus on one or more speciic diseases (e.g. NCDs such as cancer and diabetes, or TB/malaria/HIV), products (e.g. vaccines, family planning commodities), or populations (e.g. displaced populations/refugees). Both countries and development partners have experimented with pooling procurement (e.g. see (Jack, 2019) and references therein for an overview; and (Wilkinson et al., 2016) for the EAC experience). However, neither donors nor national governments in LMICs have seriously considered combining such pooling together with some form of differential pricing.

In the case of development partners, the Global Fund and Gavi have periodically considered price discrimination but abandoned it, in part due to technical and informational challenges and in part due to political pressure from disease and access to medicines advocates who iercely (and correctly, in our view) oppose a model of value-based pricing dictated by the healthcare products industry5. The Global Fund’s Pooled Procurement Mechanism, StopTB’s Global Drug Facility, and UNICEF’s Supply Division are examples of pooled procure-ment—but they too tend to secure a single price across the countries on behalf of whom they buy, sometimes as a delib-erate policy decision (though in some cases only speciic countries, e.g. Gavi-eligible or transitioning countries, may be eligible for speciic UNICEF vaccine prices). Market shap-ing efforts and volume guarantees do not consider incremen-tal beneit-related value (other than price minimization through higher volumes) from the perspective of the purchaser or the end beneiciary. Instead the emphasis has traditionally been on volume guarantees (Lomas et al., 2018) and underwriting the risk of shortfalls or delays in payment.

Countries have also tended to join forces for achieving a sin-gle price, with PAHO’s revolving fund for vaccines and the more recent strategic fund for NCDs and Hep C being cases in point. There again the fund insists on a single price across all participating countries. A similar approach for NCD products through PAHO’s strategic fund has proven less successful.

We posit that insistence on a single price, delinked from payers’ incremental value, is no longer sustainable. Instead, in the context of aid transition, expanding UHC, and growth

5 Indeed advocacy groups such as MSF and Oxfam are keener on pooling

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of emerging markets’ purchasing model, pooled procurement coupled with VBTP becomes a viable proposition.

In this case, a single product-speciic purchaser represent-ing a block of country payers would commit to purchasrepresent-ing the appropriate total volume at the average value-based (beneit-based) price—that is, the weighted average of VBPs across participating payers). For manufacturers, this would be equivalent to a situation of perfect price discrimination across the participating countries (or states/provinces in the case of large and diverse federal countries such as India and China). Each payer would then purchase at their particular value-based price from the single global purchaser. Existing mechanisms of underwriting payment risk, especially for poorer purchas-ers, could still apply as needed; however, country purchasers would play a major role in product selection and in assessing local value.

Where do we start? No such single purchaser exists, but the Global Fund already purchases on behalf of most low- and middle-income countries for speciic products. An endorsement of Health Technology Assessment by the routinely carried out by HICs and successful MIC health systems such Thailand and China, would allow it to assess value for each product across participating countries, ideally using accepted stand-ards such as the iDSI Reference case, to inform country-speciic prices (Lomas et al., 2018). Gavi could also play a similar role. This approach would beneit transitioning countries while also improving donors’ value for money and rationalizing co-inancing requirements for beneiciary countries.

Of course, the Global Fund, Gavi, and other speciic donor institutions only cover limited disease areas. One might envi-sion a similar approach for cancer drugs (e.g. biosimilars or biologics), autoimmune conditions, or diabetes products. Such pooling and VBTP would only work for products that are not commoditized (generics); in the latter case, differ-ent arrangemdiffer-ents to increase the competitiveness of generics markets would be needed and VBTP would add little value.

A research and action agenda

What we propose is not an easy solution but a necessary step to progress the discussions regarding innovation and access to products in emerging economies. One of our reviewers highlights a series of challenges in making VBTP a reality.

Further research is required to scope out the viability of a global VBTP mechanism, its welfare impact and its distributional consequences. The future research agenda might include themes such as an analysis and evaluation of possible mechanisms and institutions; or applying game theory to understand the dynamic interactions between different actors in the healthcare system and consequent welfare effects. Important research questions include:

•฀฀฀฀What are the beneits and drawbacks of alternative mechanisms/institutional options?

•฀฀฀฀What is scale of potential value that different stakehold-ers could achieve through a functional VBTP mecha-nism? How large is this value relative to total current revenue or current health? Such an assessment would inform the appropriate effort (in time, resources, and political capital) that could be spent to achieve a workable VBTP process.

•฀฀฀฀How motivated would different players be to participate in this system? What could be done to better motivate players who would have less to gain?

Additional empirical research will be needed to address questions central to making a VBTP mechanism work, such as:

•฀฀฀฀Shortlist of appropriate products for applying the VBTP mechanism and appropriate payers to join.

•฀฀฀฀Assessment of evidence-informed prices and volumes. •฀฀฀฀Assessment of health effects and system costs across

the range of population subgroups that could beneit from a selected product (drawing on the iDSI Reference Case).

•฀฀฀฀Designing/agreeing/establishing an accountable proc-ess for coming to scientiic value judgments about what the evidence and analysis suggests (drawing on the work of iDSI, DCP and others as well as national payers such as NICE, NIPH and HITAP).

•฀฀฀฀An estimate of thresholds relevant to each healthcare system, ideally distinguishing the effects of changes in public and private spend (plus their interaction with GDP per capita, drawing on previous work).

Data availability

No data are associated with this article.

References

Armstrong M, Vickers J: Price Discrimination, Competition and Regulation. J Ind

Econ. 1993; 41(4): 335–359. Publisher Full Text

Bokhari FA, Gai Y, Gottret P: Government health expenditures and health outcomes. Health Econ. 2007; 16(3): 257–73.

PubMed Abstract |Publisher Full Text

Callaway E: TB Diagnostic Test Fails to Curb Cases: Poor Response to Roll-out

of Automated Test Highlights Need for Better Health-Care Infrastructure in Many Countries. Nature. Nature Publishing Group. 2017; 551(7681): 424–425. Reference Source

Castro HE: Peer Review Report For: Value-based tiered pricing for universal health coverage: an idea worth revisiting [version 1; peer review: 1 approved].

Gates Open Res. 2020; 4: 16. Publisher Full Text

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